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Product card generation, labeling, inspection, and/or authentication system

Inactive Publication Date: 2005-04-14
FETISOV IGOR V
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

It is another object of the present invention to create a process of card generation and product labeling that will provide a rapid method for reagent-free inspection and authentication of products at all steps of their sale.
It is another object of the present invention to create a highly effective system for protecting the trademark of a commercial product.
It is a further object of the present invention to increase the degree of protection of a product's universal insignificant identifying features (such as barcodes).
It is yet another object of the present invention to provide a rapid method for identifying counterfeit products.

Problems solved by technology

The production and sale of illegal products causes huge commercial losses.
Furthermore, counterfeit products, which are often made from haphazard raw materials that produce inferior and possibly dangerous products, discredit the trademark of honest manufacturers and create a potential threat to human life and health.
However, those measures are merely external attributes that are not confirmed by their unambiguous and convincing correlation with the qualitative / quantitative characteristics of the product being protected or with the unique technology used by a specific manufacturer [Barcodes EAN / UPC: Automatic Identification Association UNISCAN: www.ean.ru; Universal Product Code (UPC) and EAN Article Numbering Code (EAN): www.adams1.com / pub / russadam / upccode.html], and therefore they are not reliable enough protection tools.
This leads to inevitable experimental errors that decrease the reproducibility of the analytical results [Belyanina V. V., Petov A. P. Proceedings of the Third Scientific and Practical Conference, “Quality Identification and Safety of Alcoholic Products,” Pushchino, Moscow Region, 2001, p.
133], which makes it impossible to make an unambiguous identification of items being compared.

Method used

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  • Product card generation, labeling, inspection, and/or authentication system
  • Product card generation, labeling, inspection, and/or authentication system
  • Product card generation, labeling, inspection, and/or authentication system

Examples

Experimental program
Comparison scheme
Effect test

example 1

In order to demonstrate the sensitivity of the proposed method to variations in the micro-component composition of the products, FIGS. 1 and 2 show graphic presentations of the generalized optical images of various products of natural and industrial origin.

FIG. 1 shows graphic presentations of the generalized optical images as a 3D image (“portrait”) and a “fingerprint,” which is a topographical cross-section (a horizontal projection of the family of equidistant cross-sections of the 3D image) for two samples of mineral water of the same type supplied by different manufacturers. As can be seen from the figure, the specimens have generally similar 3D images but, at the same time, they drastically differ in details, which is especially noticeable in graphic images presented as “fingerprints.”

FIG. 2 shows “fingerprints” for various type of industrial products: an alcohol product (vodka) of two identical brands produced by different manufacturers and automotive gasolines of various br...

example 2

In order to demonstrate the average experimental values of the level of agreement and magnitude of error for the characteristic generalized optical images obtained for individual commercial lots of various goods, the following products were selected: 1)—brand 1 automotive gasoline; 2)—brand 2 automotive gasoline; 3)—mineral water; 4)—alcoholic beverage (vodka); 5)—bakery yeast (powder); 6)—shampoo (gel); 7)—dish detergent (gel); 8)—powdered laundry detergent.

Analyses were conducted for series consisting of 5-10 specimens of each type of the above products manufactured in one and the same technological cycle. The results of those analyses are presented in Table 1. As that table shows, the magnitude of error δ was several percentage points and practically all of it was determined by the experimental error of measuring the characteristic intensities

TABLE 1Category of productGasolineFoodstuffsChemicals12345678A0.960.950.950.980.940.970.980.94±δ0.040.050.050.020.060.030.020.06

example 3

In order to demonstrate the levels of agreement for the optical images of homonymous products from an individual manufacturer, three specimens of shampoo of the same brand were sampled; the shampoos were produced in various technological cycles with a time interval of several months. The results of comparison are presented in Table 2. As can be seen from that table, only insignificant variations in the level of agreement due to random measurement errors were observed in products made of identical raw materials in one and the same technological cycle. On the other hand, the level of agreement was substantially lower in specimens from different technological lots.

TABLE 2Lot 1Lot 21-11-21-32-12-22-3Lot 11-110.970.950.820.790.821-20.9710.980.860.850.81-30.950.9810.880.820.85Lot 22-10.820.860.8810.940.992-20.790.850.820.9410.962-30.820.80.850.990.961

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Abstract

Process and device for card generation and labeling for extracted or manufactured consumer products, which enables nondestructive contactless product inspection and / or authentication, including card generation and inspection of packaged products without damage to containers, identification of trade specimens of a product made by a specific manufacturer at every step of its distribution, and detection of counterfeit products and / or detection of product taint or contamination. The process uses the apparatus and methods of spectral analysis to form characteristic multidimensional optical images (signatures), fingerprints, and / or data profiles. Such images are presented as a digital, magnetic, graphic, holographic or other code that can be read by special devices and / or by visual comparison. The code is listed in the product documentation and / or printed directly on the product's container, which is made of a material transparent in the spectral band of the probing and analyzed optical radiation or is equipped with a device transparent in the spectral band of the probing and analyzed optical radiation. The device enables the probing optical radiation to enter and the analyzed optical radiation, which is used to obtain the characteristic optical image (signature) of the packaged product, to exit, and permits comparison of the image with the labeling code or card listed in the product documentation and / or printed directly on the product's container.

Description

FIELD OF THE INVENTION The present invention relates to the field of identifying the component compositions of products and, more particularly, for automatically identifying products and detecting counterfeits. This invention is also related to automated product identification and protection of formulations of commercial product trademarks and brands. BACKGROUND OF THE INVENTION The production and sale of illegal products causes huge commercial losses. Today, the revenues generated by counterfeit products are comparable to the revenues from drug trafficking and arms sales. [Independent study: www.ntv.tv.ru, November, 2002]. Furthermore, counterfeit products, which are often made from haphazard raw materials that produce inferior and possibly dangerous products, discredit the trademark of honest manufacturers and create a potential threat to human life and health. In recent years, the huge growth in counterfeit products has resulted in the rapid development of various technologies...

Claims

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Application Information

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IPC IPC(8): G06K7/10G07D7/12G07D7/20
CPCG07D7/122G07D7/1205
Inventor NEKRASOV, VICTOR V.LAZARENKO-MANEVICH, REM M.GASANOV, JAFAR R.PORTYAN, ALEXANDER T.RYZHAKOVA, NATALIA V.BRIK, YEVGENY B.LAZARENKO-MANEVICH, VLADIMIR R.FETISOV, IGOR V.LAGUTENKO, OLEG
Owner FETISOV IGOR V
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